Job Description:
- This person will be a key member of Data Transformation team and will be responsible managing the design, development, and implementation of data models to support as per business needs.
- Create and Maintain logical and physical data models along with accurate metadata.
- Develop, implement and support the usage of data visualization toolkit, configuration, deployment and usage.
- Ensuring all database programs meet company and performance requirements.
- Collaborate with various stakeholders like IT, data engineer and vendors to create efficient and scalable data models that facilitate data integration.
- Works closely with IT management to establish the transformed database structures and processes.
- Uses data expertise and a strong understanding of business problems, IT strategies, issues and priorities to perform data analysis, identify and resolve data issues.
- Understand internal & external data streams, existing tools and democratize data to Business units.
- Drive & implement of a comprehensive data transformation strategy that aligns with the organization’s goals and objectives.
- Researching new technologies and constantly updating knowledge.
- Regularly engage and consult stakeholders on solving business problems through data, guiding the conversation rather than following orders
Requirements:
- More than 10 years of experience is preferred.
- Strong in data modelling, data enrichment, data science and analytics skills in financial services domain.
- Hands-on knowledge with Open source tool such as Python/R with experience in ML and AI.
- Ability to understand data available in bank and create roadmap of data enrichment with partnership with external partners.
- Ability to manage diverse team of business stakeholders and analysts.
